Literature DB >> 29346157

Identifying Novel Signaling Pathways: An Exercise Scientists Guide to Phosphoproteomics.

Gary M Wilson, Rocky Blanco, Joshua J Coon, Troy A Hornberger.   

Abstract

We propose that phosphoproteomic-based studies will radically advance our knowledge about exercise-regulated signaling events. However, these studies use cutting-edge technologies that can be difficult for nonspecialists to understand. Hence, this review is intended to help nonspecialists 1) understand the fundamental technologies behind phosphoproteomic analysis and 2) use various bioinformatic tools that can be used to interrogate phosphoproteomic datasets.

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Year:  2018        PMID: 29346157      PMCID: PMC6261359          DOI: 10.1249/JES.0000000000000146

Source DB:  PubMed          Journal:  Exerc Sport Sci Rev        ISSN: 0091-6331            Impact factor:   6.230


  40 in total

1.  The origins of protein phosphorylation.

Authors:  Philip Cohen
Journal:  Nat Cell Biol       Date:  2002-05       Impact factor: 28.824

2.  Ultradeep human phosphoproteome reveals a distinct regulatory nature of Tyr and Ser/Thr-based signaling.

Authors:  Kirti Sharma; Rochelle C J D'Souza; Stefka Tyanova; Christoph Schaab; Jacek R Wiśniewski; Jürgen Cox; Matthias Mann
Journal:  Cell Rep       Date:  2014-08-21       Impact factor: 9.423

3.  Protein labeling by iTRAQ: a new tool for quantitative mass spectrometry in proteome research.

Authors:  Sebastian Wiese; Kai A Reidegeld; Helmut E Meyer; Bettina Warscheid
Journal:  Proteomics       Date:  2007-02       Impact factor: 3.984

4.  Biological sequence motif discovery using motif-x.

Authors:  Michael F Chou; Daniel Schwartz
Journal:  Curr Protoc Bioinformatics       Date:  2011-09

5.  Sources of technical variability in quantitative LC-MS proteomics: human brain tissue sample analysis.

Authors:  Paul D Piehowski; Vladislav A Petyuk; Daniel J Orton; Fang Xie; Ronald J Moore; Manuel Ramirez-Restrepo; Anzhelika Engel; Andrew P Lieberman; Roger L Albin; David G Camp; Richard D Smith; Amanda J Myers
Journal:  J Proteome Res       Date:  2013-04-10       Impact factor: 4.466

6.  In vivo phosphoproteomics analysis reveals the cardiac targets of β-adrenergic receptor signaling.

Authors:  Alicia Lundby; Martin N Andersen; Annette B Steffensen; Heiko Horn; Christian D Kelstrup; Chiara Francavilla; Lars J Jensen; Nicole Schmitt; Morten B Thomsen; Jesper V Olsen
Journal:  Sci Signal       Date:  2013-06-04       Impact factor: 8.192

7.  Neutron-encoded mass signatures for multiplexed proteome quantification.

Authors:  Alexander S Hebert; Anna E Merrill; Derek J Bailey; Amelia J Still; Michael S Westphall; Eric R Strieter; David J Pagliarini; Joshua J Coon
Journal:  Nat Methods       Date:  2013-02-24       Impact factor: 28.547

8.  Gas-phase purification enables accurate, multiplexed proteome quantification with isobaric tagging.

Authors:  Craig D Wenger; M Violet Lee; Alexander S Hebert; Graeme C McAlister; Douglas H Phanstiel; Michael S Westphall; Joshua J Coon
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

9.  Proteomics of Skeletal Muscle: Focus on Insulin Resistance and Exercise Biology.

Authors:  Atul S Deshmukh
Journal:  Proteomes       Date:  2016-02-04

10.  Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ.

Authors:  Jürgen Cox; Marco Y Hein; Christian A Luber; Igor Paron; Nagarjuna Nagaraj; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2014-06-17       Impact factor: 5.911

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  1 in total

1.  Profiling of human lymphocytes reveals a specific network of protein kinases modulated by endurance training status.

Authors:  Katharina Alack; Astrid Weiss; Karsten Krüger; Mona Höret; Ralph Schermuly; Torsten Frech; Martin Eggert; Frank-Christoph Mooren
Journal:  Sci Rep       Date:  2020-01-21       Impact factor: 4.379

  1 in total

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